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AI Cooperative
We're building a self-sovereign and sustainable AI economy.
The AI Cooperative is a fabric for collaborative intelligence, turning the data each participant holds into shared value. To bring AI services to individual commons and SMBs, we research the foundational technologies that make this possible.
• No worries of privacy breach
• Precise and transparent valuation of the contribution by co-op participants
• Hassle-free: agents take care of AI service creation, credit assignment and micro-payments
Privacy-Preserving Lossless Traversal Learning (TL++)
The core engine of AI Cooperative is TL++, the distributed machine learning framework.
Here are the strengths of TL++:
Accuracy Losslessness
Virtual batches produce the same gradient updates as centralized training on the same batch, even with skewed data.
Communication Efficiency
Only cut-layer signals move across the network, not full model weights.
Secure computation
Data stays on the node, while intermediate computation is protected by MPC (Multi-Party Computation).
Ongoing Projects
References
Batbaatar, Erdenebileg, and Young Yoon. "TL++: Accuracy and Privacy Preserving Traversal Learning for Distributed Intelligent Systems." arXiv preprint arXiv:2606.25627 (2026). https://arxiv.org/abs/2606.25627
E Batbaatar, J Kim, Y Kim, Y Yoon, Traversal Learning Coordination for Lossless and Efficient Distributed Learning, Expert Systems 42 (11), e70141, https://doi.org/10.1111/exsy.70141(2025)
Yongcheol Kim, Chanjae Lee, Young Yoon, Payload-Aware Intrusion Detection with CMAE and Large Language Models, ACM Transaction on Privacy and Security (TOPS), https://dl.acm.org/doi/10.1145/3769682 (2025)
J Seo, Y Lee, Young Yoon, Self-sovereign and Secure Data Sharing Through Docker Containers for Machine Learning on Remote Node, Journal of Web Engineering, 23(5) pp. 637-656, https://ieeexplore.ieee.org/abstract/document/10654693
Jimin Kim, Young Yoon, Predicting Machine Learning Training Costs with MLPerf Benchmarks, 2025 IEEE International Conference on Big Data, Macau, 10.1109/BigData66926.2025.11402502
Yoon, Young, Jimin Kim, and Soyeon Park. "Towards Value-Constrained Credit Assignment in Fully Delegated AI Cooperatives." arXiv preprint arXiv:2606.28217 (2026). https://arxiv.org/abs/2606.28217
Yoon, Y. (2026). Creating Agentic AI Cooperatives for the Recovery of Economic Self-Sovereignty. Guest essay, Fourth Generation Civilization (Michel Bauwens), ‘Civilizational AI’ series. 4thgenerationcivilization.substack.com/p/creating-agentic-ai-cooperatives
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